Combinations of samples problem

  • Thread starter Thread starter jonroberts74
  • Start date Start date
  • Tags Tags
    Combinations
Click For Summary
SUMMARY

The discussion focuses on a combinatorial problem involving defective computer boards in a production run. The total number of different samples of five boards from forty is calculated using the binomial coefficient, yielding 658,008 combinations. The number of samples containing at least one defective board is determined to be 222,111. Consequently, the probability that a randomly chosen sample of five contains at least one defective board is approximately 33.76%.

PREREQUISITES
  • Understanding of combinatorial mathematics, specifically binomial coefficients.
  • Familiarity with probability theory and calculations.
  • Knowledge of factorial notation and its application in combinatorial problems.
  • Basic skills in mathematical notation and problem-solving techniques.
NEXT STEPS
  • Study binomial coefficients and their applications in combinatorial problems.
  • Learn about probability calculations involving combinations and permutations.
  • Explore advanced topics in combinatorial probability, such as hypergeometric distributions.
  • Practice solving similar problems involving defective items and sampling techniques.
USEFUL FOR

Students in mathematics, educators teaching combinatorics and probability, and professionals in quality control or production analysis who need to understand sampling techniques and defect analysis.

jonroberts74
Messages
189
Reaction score
0

Homework Statement



Suppose that three computer boards in a production run of forty are defective. A sample of five is to be selected to be checked for defects.
a. How many different samples can be chosen?
b. How many samples will contain at least one defective board?
c. What is the probability that a randomly chosen sample of five contains at least one defective board?

The Attempt at a Solution



A) ##\binom{40}{5} = \frac{40!}{5!(35!)} = 658\;008##

B) ##\binom{5}{1}+\binom{5}{2}+\binom{5}{3} = 25##

C) ##P(E) = \frac{N(E)}{N(S)} = \frac{25}{658\;008}##
 
Physics news on Phys.org
B) ##\binom{3}{1}\binom{37}{4}+\binom{3}{2}\binom{37}{3}+\binom{3}{3} \binom{37}{2} = 222\,111##

C) ##P(E) = \frac{N(E)}{N(S)} = \frac{222\,111}{658\,008} \approx 33.76\%##
 
Your second attempt looks good.

Another way to calculate (B) is to figure out how many ways to select 5 good boards and then subtract that number from your answer to (A).
 

Similar threads

  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
Replies
8
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 5 ·
Replies
5
Views
5K
Replies
2
Views
2K